| // META: title=validation tests for WebNN API triangular operation |
| // META: global=window |
| // META: variant=?cpu |
| // META: variant=?gpu |
| // META: variant=?npu |
| // META: script=../resources/utils_validation.js |
| |
| 'use strict'; |
| |
| promise_test(async t => { |
| const builder = new MLGraphBuilder(context); |
| |
| // The input tensor which is at least 2-D. |
| for (let shape of allWebNNShapesArray.slice(0, 2)) { |
| for (let dataType of allWebNNOperandDataTypes) { |
| if (!context.opSupportLimits().input.dataTypes.includes(dataType)) { |
| continue; |
| } |
| const input = builder.input(`input${++inputIndex}`, {dataType, shape}); |
| const label = 'triangular_3'; |
| const options = {label}; |
| const regrexp = new RegExp('\\[' + label + '\\]'); |
| assert_throws_with_label( |
| () => builder.triangular(input, options), regrexp); |
| } |
| } |
| }, '[triangular] TypeError is expected if input\'s rank is less than 2'); |
| |
| validateInputFromAnotherBuilder('triangular'); |